dc.contributor.author | Lee, Y. J. | |
dc.date.accessioned | 2022-08-11T20:02:56Z | |
dc.date.available | 2021-09-20T18:22:47Z | |
dc.date.available | 2022-08-11T20:02:56Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/132514.2 | |
dc.description.abstract | © 2018 Elsevier B.V. We report on broadly based systematic investigations of the modeling components for open heavy-flavor diffusion and energy loss in strongly interacting matter in their application to heavy-flavor observables in high-energy heavy–ion collisions, conducted within an EMMI Rapid Reaction Task Force framework. Initial spectra including cold-nuclear-matter effects, a wide variety of space-time evolution models, heavy-flavor transport coefficients, and hadronization mechanisms are scrutinized in an effort to quantify pertinent uncertainties in the calculations of nuclear modification factors and elliptic flow of open heavy-flavor particles in nuclear collisions. We develop procedures for error assessments and criteria for common model components to improve quantitative estimates for the (low-momentum) heavy-flavor diffusion coefficient as a long-wavelength characteristic of QCD matter as a function of temperature, and for energy loss coefficients of high-momentum heavy-flavor particles. | en_US |
dc.language.iso | en | |
dc.publisher | Elsevier BV | en_US |
dc.relation.isversionof | 10.1016/J.NUCLPHYSA.2018.09.002 | en_US |
dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.source | arXiv | en_US |
dc.title | Extraction of heavy-flavor transport coefficients in QCD matter | en_US |
dc.type | Article | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Physics | en_US |
dc.relation.journal | Nuclear Physics A | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2020-11-02T18:37:33Z | |
dspace.orderedauthors | Rapp, R; Gossiaux, PB; Andronic, A; Averbeck, R; Masciocchi, S; Beraudo, A; Bratkovskaya, E; Braun-Munzinger, P; Cao, S; Dainese, A; Das, SK; Djordjevic, M; Greco, V; He, M; van Hees, H; Inghirami, G; Kaczmarek, O; Lee, Y-J; Liao, J; Liu, SYF; Moore, G; Nahrgang, M; Pawlowski, J; Petreczky, P; Plumari, S; Prino, F; Shi, S; Song, T; Stachel, J; Vitev, I; Wang, X-N | en_US |
dspace.date.submission | 2020-11-02T18:37:36Z | |
mit.journal.volume | 979 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Publication Information Needed | en_US |